21 skills found
ShuhuaGao / GeppyA framework for gene expression programming (an evolutionary algorithm) in Python
immunogenomics / StarCATImplements *CellAnnotator (aka *CAT/starCAT), annotating scRNA-Seq with predefined gene expression programs
gmlewis / GepGene Expression Programming in Go
sayin / Data Driven Symbolic RegressionInterpretable machine learning (symbolic regression) using Genetic programming/Gene expression programming and Sparse regression used to identify physical process, numerical schemes, and LES subgrid scale (eddy viscosity) turbulence models.
dylkot / ScsimSimulate single-cell RNA-SEQ data using the Splatter statistical framework but implemented in python. In addition, simulate doublet cells and cells with shared gene-expression programs.
wanglf19 / ScCapsAn interpretable deep-learning architecture of capsule networks for identifying cellular-type gene expression programs from single-cell RNA-seq data
chenhh / PyMOGEPpython multi-objective gene expression programming
jeff-dale / Gene Expression ProgrammingPython + Numpy implementation of the Gene Expression Programming Evolutionary Algorithm
mjsottile / HsgepHaskell Gene Expression Programming Library
chen0040 / Java Genetic ProgrammingGenetic-programming framework for various genetic programming paradigms such as linear genetic programming, tree genetic programming, gene expression programming, etc
hurlenko / Gene Expression ProgrammingSimple implementation of Gene expression programming algorithm written in python3
az13js-org / GEP基因表达式编程（Gene Expression Programming，GEP）属于遗传算法（GA）中的遗传编程算法（GP），它相对于传统遗传编程算法而言拥有更优秀的性能和更简单的实现方法。仓库源码使用面向对象方法实现了基因表达式编程（GEP），各功能模块有比较好的独立性，可以比较方便地在本地进行调试和改写。仓库源码属于C++控制台程序，在Windows和Linux系统上经过测试可正常运行。
geeleherlab / CSI GEPConsensus and Scalable Interpretations of Gene Expression Programs in Single Cells
GrauLab / SDCMSignal Dissection by Correlation Maximization (SDCM) is a first-principles method that overcomes limitations of PCA. It detects maximimal consistency in the data, dissects overlapping signatures of real underlying interactions, has revealed gene expression programs with strong impact on patient survival, and is ready to use for your dataset.
Kohirus / GeneExpressionProgramming基因表达式编程
cliffbb / Geppy NnEvolutionary NAS with cellular encoding of gene expression programming
maxreiss123 / GeneExpressionProgramming.jlGene Expression Programming for symbolic regression in Julia
Matlab-MGEP / MGEPA gene expression programming framework for evolutionary design of metaheuristic algorithms
Porruno / EvolutionaryFrameworkevolutionary framework that provide an hyper-heuristics models which implements genetic algorithms, genetic programming, gene expression programming to solve optimization combinatorial problems
rafaelstevenson / Gene Expression ProgrammingA Gene Expression Programming Implementation in Python generally for symbolic regression purposes
